Created
November 10, 2017 00:06
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// code from Hwang Hae Yeon of My Facebook Friend | |
// Count light from the photo of night scenary | |
import numpy as np | |
import argparse | |
import cv2 | |
def is_contour (c): | |
peri = cv2.arcLength(c, True) | |
approx = cv2.approxPolyDP(c, 0.02 * peri, True) | |
return len(approx) | |
ap = argparse.ArgumentParser() | |
ap.add_argument("-i", "--image", help = "path to the image file") | |
args = vars(ap.parse_args()) | |
image = cv2.imread(args["image"]) | |
lower = np.array([170, 170, 100]) | |
upper = np.array([250, 250, 250]) | |
shapeMask = cv2.inRange(image, lower, upper) | |
(cnts, _) = cv2.findContours(shapeMask.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) | |
num = 1 | |
for c in cnts: | |
if is_contour(c) > 1: | |
num += 1 | |
cv2.drawContours(shapeMask, [c], -1, 0, -1) | |
num = len(cnts)-num | |
print "I found %d candle shapes" % (num) | |
font = cv2.FONT_HERSHEY_SIMPLEX | |
cv2.putText(shapeMask,str(num),(10,50), font, 1,(255,255,255),2) | |
cv2.imwrite("out.jpg", shapeMask) |
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